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Multimodal learning with graphs
Artificial intelligence for graphs has achieved remarkable success in modelling complex
systems, ranging from dynamic networks in biology to interacting particle systems in physics …
systems, ranging from dynamic networks in biology to interacting particle systems in physics …
Robotic vision for human-robot interaction and collaboration: A survey and systematic review
Robotic vision, otherwise known as computer vision for robots, is a critical process for robots
to collect and interpret detailed information related to human actions, goals, and …
to collect and interpret detailed information related to human actions, goals, and …
Gen-vlkt: Simplify association and enhance interaction understanding for hoi detection
Abstract The task of Human-Object Interaction (HOI) detection could be divided into two core
problems, ie, human-object association and interaction understanding. In this paper, we …
problems, ie, human-object association and interaction understanding. In this paper, we …
Hoiclip: Efficient knowledge transfer for hoi detection with vision-language models
Abstract Human-Object Interaction (HOI) detection aims to localize human-object pairs and
recognize their interactions. Recently, Contrastive Language-Image Pre-training (CLIP) has …
recognize their interactions. Recently, Contrastive Language-Image Pre-training (CLIP) has …
Viplo: Vision transformer based pose-conditioned self-loop graph for human-object interaction detection
Abstract Human-Object Interaction (HOI) detection, which localizes and infers relationships
between human and objects, plays an important role in scene understanding. Although two …
between human and objects, plays an important role in scene understanding. Although two …
Relational context learning for human-object interaction detection
Recent state-of-the-art methods for HOI detection typically build on transformer architectures
with two decoder branches, one for human-object pair detection and the other for interaction …
with two decoder branches, one for human-object pair detection and the other for interaction …
Exploring predicate visual context in detecting of human-object interactions
Recently, the DETR framework has emerged as the dominant approach for human--object
interaction (HOI) research. In particular, two-stage transformer-based HOI detectors are …
interaction (HOI) research. In particular, two-stage transformer-based HOI detectors are …
Exploring structure-aware transformer over interaction proposals for human-object interaction detection
Abstract Recent high-performing Human-Object Interaction (HOI) detection techniques have
been highly influenced by Transformer-based object detector (ie, DETR). Nevertheless, most …
been highly influenced by Transformer-based object detector (ie, DETR). Nevertheless, most …
Efficient two-stage detection of human-object interactions with a novel unary-pairwise transformer
Recent developments in transformer models for visual data have led to significant
improvements in recognition and detection tasks. In particular, using learnable queries in …
improvements in recognition and detection tasks. In particular, using learnable queries in …
Human-object interaction detection via disentangled transformer
Abstract Human-Object Interaction Detection tackles the problem of joint localization and
classification of human object interactions. Existing HOI transformers either adopt a single …
classification of human object interactions. Existing HOI transformers either adopt a single …